Triple
T34308261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paper Church in Kobe |
E880368
|
entity |
| Predicate | constructionCostCharacteristic |
P193270
|
FINISHED |
| Object | low-cost |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: low-cost | Statement: [Paper Church in Kobe, constructionCostCharacteristic, low-cost]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructionCostCharacteristic Context triple: [Paper Church in Kobe, constructionCostCharacteristic, low-cost]
-
A.
constructionCharacteristic
Indicates a specific structural or material property that characterizes how something is built or constructed.
-
B.
constructionCost
Indicates the monetary or resource expenditure required to build or construct something.
-
C.
constructionFeatures
Indicates the specific structural or design characteristics that define how something is built or assembled.
-
D.
constructionCostCurrency
Indicates the currency in which the construction cost of something is expressed.
-
E.
estateCharacteristic
Indicates that an estate possesses a particular attribute, quality, or defining feature.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f349b8bb6c8190ad12a7957a574f04 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd3d46d1f48190a1b20dd063224b7d |
completed | May 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69fd3ae1510c81908fe1280efc17feee |
completed | May 8, 2026, 1:22 a.m. |
| PDg | Predicate description generation | batch_69fd3d45ccb8819082f15e60bd33afc9 |
completed | May 8, 2026, 1:32 a.m. |
Created at: May 1, 2026, 1:57 a.m.